Robust jumping with an articulated soft quadruped via trajectory optimization and iterative learning

J Ding, MA van Löben Sels, F Angelini… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Quadrupeds deployed in real-world scenarios need to be robust to unmodelled dynamic
effects. In this work, we aim to increase the robustness of quadrupedal periodic forward …

Iterative learning control for compliant underactuated arms

M Pierallini, F Angelini, R Mengacci… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Operations involving safe interactions in unstructured environments require robots with
adapting behaviors. Compliant manipulators are a promising technology to achieve this …

Data-driven adaptive iterative learning control of a compliant rehabilitation robot for repetitive ankle training

K Qian, Z Li, Z Zhang, G Li… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
This letter investigates the repetitive range of motion (ROM) training control for a compliant
ankle rehabilitation robot (CARR). The CARR utilizes four pneumatic muscle (PM) actuators …

Extended state observer based dynamic iterative learning for trajectory tracking control of a six-degrees-of-freedom manipulator

J Xu, D Li, J Zhang - ISA transactions, 2023 - Elsevier
With the development of industrial automation comes an ever, broadening number of
application scenarios for manipulators along with increasing demands for their precise …

Dynamic coupling for underactuated compliant arms with not well-defined relative degree

M Pierallini, F Angelini… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Soft robots are deformable, compliant, and underactuated systems. During any task, due to
their enormous capability of body deformation, the relative degree may not be well-defined …

Optimal control for articulated soft robots

SP Chhatoi, M Pierallini, F Angelini… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Soft robots can execute tasks with safer interactions. However, control techniques that can
effectively exploit the systems' capabilities are still missing. Differential dynamic …

Sampled-Data Adaptive Iterative Learning Control for Uncertain Nonlinear Systems

Y Hui, D Meng, R Chi, K Cai - IEEE Transactions on Systems …, 2024 - ieeexplore.ieee.org
In the realm of data-driven adaptive iterative learning control (AILC), the emphasis in
designing and analyzing control schemes mainly concentrates on discrete-time systems …

The Influence of the Model Discrepancies in the Jacobian Motion Planning Algorithm for Nonholonomic Systems

A Ratajczak, R Orozco… - 2024 13th International …, 2024 - ieeexplore.ieee.org
The Jacobian motion planning of a nonholonomic system, derived by means of the
Endogenous Configuration Space Approach, relies on a complete knowledge of a robot's …

Comparative Study Of Swing-Up Controllers: Passivity-Based Swing-Up Control And Sliding Mode Technique Combined Energy-Based Method For Rotational …

MT Vo, HN Duong, VH Nguyen - 2024 9th International …, 2024 - ieeexplore.ieee.org
In this paper, we focus on designing a swing-up controller, namely Passivity-Based Swing-
up Control (PBSC). The object we use to validate the PBSC is the Rotational Inverted …